4797 papers
Condensed matter physics and materials science form a dynamic partnership, exploring how the collective behavior of atoms gives rise to the unique properties of solids and liquids. This field bridges the gap between fundamental quantum mechanics and the practical engineering of everything from flexible electronics to superconductors, turning abstract theories into tangible innovations that shape our daily lives.
At Gist.Science, we process every new preprint in this category directly from arXiv to make these complex discoveries accessible to everyone. Our team generates both plain-language overviews and detailed technical summaries for each paper, ensuring that researchers, students, and curious minds alike can grasp the latest breakthroughs without getting lost in dense jargon.
Below are the latest papers in condensed matter and materials science, organized by their most recent publication dates.
The paper introduces ADAPT, a lightweight, graph-free machine learning force field that utilizes a Transformer-based architecture to explicitly model all pairwise atomic interactions, achieving significantly lower prediction errors and computational costs than state-of-the-art graph neural networks for simulating silicon point defects.
This study reports the pulsed laser deposition and characterization of bismuth-substituted lutetium iron garnet (LuBiIG) films, which exhibit an exceptionally high Verdet constant of up to -1.37 × 10⁸ degree/meter/Tesla in the visible range, establishing them as promising materials for advanced magnetic sensing and hybrid quantum applications.
This thesis presents a unified AI framework that leverages graph representation learning, multimodal pretraining, and text-guided generative modeling to efficiently predict crystal properties and generate stable, controllable materials, thereby accelerating discovery while reducing reliance on expensive computational methods and large labeled datasets.
By utilizing Ti-alloyed RuO2 heterostructures to independently control epitaxial strain and Ti3+ concentration, this study demonstrates that while Ti3+ formation is insufficient to induce the anomalous Hall effect, epitaxial strain is the dominant factor driving the phenomenon by reconstructing the itinerant electronic structure of RuO2.
This study employs density functional theory to investigate the structural, mechanical, electronic, optical, and superconducting properties of the ternary nitride electride Nb5Ir3N under pressures up to 20 GPa, confirming its stability and revealing its ductile, anisotropic nature alongside pressure-induced modifications to its multifunctional characteristics.
This paper proposes a rigorous, fully renormalized, and non-perturbative framework for quantum electrodynamics of equilibrium systems by integrating Maxwell's equations with density-functional theory through combined internal and external observables, thereby resolving representability issues and recovering macroscopic electrodynamics.
This study presents a comprehensive ab-initio analysis of IV-period 3d transition-metal nitrides, demonstrating how the occupation of bonding or antibonding orbitals and variations in crystal symmetry (rocksalt, zinc-blende, and wurtzite) govern their elastic properties.
This paper introduces an accelerated parameter estimation workflow using artificial neural networks to rapidly analyze transient photoluminescence decays in halide perovskite thin films, enabling efficient exploration of multidimensional parameter spaces and improved uncertainty reduction by incorporating steady-state data.
This study proposes and validates, through a combination of topological modeling, atomistic simulations, and scanning transmission electron microscopy, that disconnections (interfacial steps with dislocation character) serve as the elementary defects driving the redox-induced phase transformation between magnetite and haematite while maintaining a fixed oxygen sublattice.
This paper introduces a universal determinant-induced pseudoscalar mapping that establishes an exact correspondence between parent-lattice vibrational modes and symmetry-adapted magnetic structures across all 32 crystallographic point groups, enabling the prediction of magnetic ground states and linear responses through a "Template Principle" where vibrational nodal manifolds are inherited by magnetic order.